이 질문을 팔로우합니다.
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다.
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다.
No appropriate method, property, or field 'blobs' for class 'SeriesNetwork'
조회 수: 2 (최근 30일)
이전 댓글 표시
I am getting error No appropriate method, property, or field 'blobs' for class 'SeriesNetwork' when I execute this instruction data = net.blobs('conv5').get_data();. Could you help me please?
댓글 수: 13
Tripoli Settou
2018년 2월 4일
I need it to get the data from last convolution layer (ex: Conv5)in Convolutional Neural Networks (CNN)
Walter Roberson
2018년 2월 4일
SeriesNetwork have a 'Layers' property: is that what you were looking for instead of 'blobs' ?
Tripoli Settou
2018년 2월 4일
I want to get the output of last convolution layer in CNN, so I found some people use this instruction : data = net.blobs('conv5').get_data();
But when I try it, this error appears: No appropriate method, property, or field 'blobs' for class 'SeriesNetwork
Walter Roberson
2018년 2월 4일
where did you find that some people use that? I want to look at the context.
Tripoli Settou
2018년 2월 4일
편집: Walter Roberson
2018년 2월 4일
As I said previously I want to get the output data from the last convolution layer in CNN .. So to do that i found some people use this instruction with Caffe library.. this is the code
feats=[];
for i=1: Number of images
Img = get_Image_path(i); % get image from dataset images
Img= imresize(Img,[224,224]);
image{1}=Img;
score=net.forward(image);
score = score{1};
data = net.blobs('conv5_3').get_data();
data = reshape(data, 14*14, 512);
feats(:,:,i) = data; % this the output data of the last conv layer (conv5_3)
end
Could you help me to get the output data of the last layer?! Can i get it without caffe library? All the best
Walter Roberson
2018년 2월 4일
"Caffe" is a key point here.
In Caffee, blobs are memory arrays holding data for communication with the CPU and GPU algorithms; see http://caffe.berkeleyvision.org/tutorial/net_layer_blob.html
Neural Networks in MATLAB do not use blobs: they use objects (or structs) that have properties, many of which are cell arrays holding relevant information. The SeriesNetwork you getting the error for is a MATLAB object that is represented without using blobs.
net.forward appears to be part of MatCaffe, described at http://caffe.berkeleyvision.org/tutorial/interfaces.html . That is a third party product that the active volunteers here do not appear to use much. Possibly something has gone wrong with your installation of that product. What shows up for
which net.forward
which net.blobs
Question for you: are you sure that get_Image_Path is returning the image in the BGR order that caffe needs? https://ahmedibrahimvt.wordpress.com/2016/04/18/caffe-in-matlab-matcaffe-simple-tutorial/ This would not affect your ability to find net.blobs, but when you solve the net.blobs problem then order of the color channels is something you will need to check.
Tripoli Settou
2018년 2월 5일
Thank you for your reply and important links but I want to know is there another way to get a data from conv layers of CNN using Matlab built-in function ?!
Walter Roberson
2018년 2월 5일
MATLAB does not provide any built-in functions to get the layers of a Caffe object. MatCaffe should provide those functions.
If you are referring to MATLAB convolution networks, then index the Layers property of the SeriesNetwork object with the layer number.
Tripoli Settou
2018년 2월 5일
편집: Walter Roberson
2018년 2월 5일
Thank you very much,
yes i'm referring to MATLAB convolution networks also i try to extract the outputs of conv layer without caffe by using "activations" function in this code:
net = alexnet;
channels = 1:256;
Mat_Features = [];
NbrImg = 1000 % Number of images in Dataset
for i = 1: NbrImg
I = readimage(Dataset,i);
I = imresize(I,[227,227]);
Features_Map_Cv5 = activations(net,I,'conv5','OutputAs','channels');%Get the output data from last convlayer (5th conv layer in AlexNet)
Feat = reshape(Features_Map_Cv5,13*13,256);
Mat_Features = [Mat_Features ; Feat];
end
- What's your opinion about my code, is it correct?!*
Walter Roberson
2018년 2월 5일
When you were asking about blobs before, that was a request to extract the properties of the layer you were interested in -- things like the weights. That is a different task than extracting the output when the network is applied to particular data. Since layer 5 is the last layer, the output of layer 5 is just the same as the output of the network itself when applied for any particular purpose, whereas activations would give you the features matrix after training, which is not something you had previously asked for.
The closest to what you had asked for before would be
net.Layers(5)
Tripoli Settou
2018년 2월 6일
I want to know how can i get features "output data" of each layer. Is "activations" function can do that?? when I search, I find some people use blobs in caffe /Matlab to get features of each layer, so i want to get this features without using blobs/caffe.
Walter Roberson
2018년 2월 6일
It does appear that activations() can return the feature outputs for a given layer. See also https://www.mathworks.com/help/nnet/examples/visualize-features-of-a-convolutional-neural-network.html
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Image Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!오류 발생
페이지가 변경되었기 때문에 동작을 완료할 수 없습니다. 업데이트된 상태를 보려면 페이지를 다시 불러오십시오.
웹사이트 선택
번역된 콘텐츠를 보고 지역별 이벤트와 혜택을 살펴보려면 웹사이트를 선택하십시오. 현재 계신 지역에 따라 다음 웹사이트를 권장합니다:
또한 다음 목록에서 웹사이트를 선택하실 수도 있습니다.
사이트 성능 최적화 방법
최고의 사이트 성능을 위해 중국 사이트(중국어 또는 영어)를 선택하십시오. 현재 계신 지역에서는 다른 국가의 MathWorks 사이트 방문이 최적화되지 않았습니다.
미주
- América Latina (Español)
- Canada (English)
- United States (English)
유럽
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
아시아 태평양
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)